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A Latent Class Analysis of Chronic Health Conditions Among HIV-Positive Transgender Women of Color

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Abstract

Research on the health of transgender people has focused on the risk for and health consequences of HIV and other sexually transmitted infections with little known about the prevalence of a broader range of medical conditions experienced by transgender people. This study used latent class (LC) analysis to examine a range of chronic medical conditions among 223 HIV-positive transgender women of color receiving primary care and psychosocial services in Chicago. The best-fitting model had 2 classes: low and moderate/high multimorbidity with 26% of participants classified in the moderate/high multimorbidity LC. Age group (i.e., under 35 vs 35 and older; AOR 13.8, p < 0.001), ever having AIDS (AOR 4.0, p < 0.05) and psychological distress (AOR 5.1, p < 0.05) were associated with increased probability of moderate/high multimorbidity class membership. The results suggest focusing on HIV-related care or hormonal treatment and potential cardiovascular issues could result in sub-optimal treatment for a population dis-engaged from primary care but which has a broad spectrum of largely untreated medical conditions.

Resumen

La investigación sobre la salud de las personas transgénero se ha centrado en el riesgo y las consecuencias del VIH y otras infecciones de transmisión sexual, y se sabe poco acerca de la prevalencia de una gama más amplia de condiciones médicas experimentadas por las personas transgénero. Este estudio utilizó un análisis de clase latente (LC) para examinar una gama de condiciones médicas crónicas entre 223 mujeres transgénero VIH positivas que reciben atención primaria y servicios psicosociales en Chicago. El modelo que mejor se ajustó tuvo 2 clases: multimorbilidad baja y moderada/alta, con 26% de los participantes clasificados en la LC de multimorbilidad moderada/alta. Grupo de edad (es decir, menores de 35 contra 35 y más; AOR = 13.8, p < 0.001), con SIDA (AOR = 4.0, p < 0.05) y angustia psicológica (AOR = 5.1, p < 0.05) fueron asociado con una mayor probabilidad de membresía de clase de multimorbilidad moderada/alta. Los resultados sugieren que centrarse en la atención relacionada con el VIH o en el tratamiento hormonal y los posibles problemas cardiovasculares podrían resultar en un tratamiento subóptimo para una población que participa muy poco en la atención primaria, pero que tiene un amplio espectro de condiciones médicas en gran parte no tratadas.

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References

  1. Institute of Medicine. The health of lesbian, gay, bisexual, and transgender people: building a foundation for better understanding. Washington, DC: The National Academics Press; 2011.

    Google Scholar 

  2. MacCarthy S, Reisner SL, Nunn A, Perez-Brumer A, Operario D. The time is now: attention increases to transgender health in the United States but scientific knowledge gaps remain. LGBT Health. 2015;2(4):287–91.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Edmiston EK, Donald CA, Sattler AR, Peebles JK, Ehrenfeld JM, Eckstrand KL. Opportunities and gaps in primary care preventative health services for transgender patients: a systemic review. Transgend Health. 2016;1(1):216–30.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Wanta JW, Unger CA. Review of the transgender literature: where do we go from here? Transgend Health. 2017;2(1):119–28.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Feldman J, Brown GR, Deutsch MB, Hembree W, Meyer W, Meyer-Bahlburg HFL, et al. Priorities for transgender medical and health care research. Curr Opin Endocrinol Diabetes Obes. 2016;23(2):180–7.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Snyder JE. Trend analysis of medical publications about LGBT persons: 1950–2007. J Homosex. 2011;58(2):164–88.

    Article  PubMed  Google Scholar 

  7. Lake JE, Clark JL. Optimizing HIV prevention and care for transgender adults. AIDS. 2019;33(3):363–75.

    Article  PubMed  Google Scholar 

  8. Hotton AL, Garofalo R, Kuhns LM, Johnson AK. Substance use as a mediator of the relationship between life stress and sexual risk among young transgender women. AIDS Educ Prev. 2013;25(1):62–71.

    Article  PubMed  Google Scholar 

  9. Brennan J, Kuhns LM, Johnson AK, Belzer M, Wilson EC, Garofalo R, et al. Syndemic theory and HIV-related risk among young transgender women: the role of multiple, co-occurring health problems and social marginalization. Am J Public Health. 2012;102(9):1751–7.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Nuttbrock L, Hwahng S, Bockting W, Rosenblum A, Mason M, Macri M, et al. Psychiatric impact of gender-related abuse across the life course of male-to-female transgender persons. J Sex Res. 2010;47(1):12–23.

    Article  PubMed  Google Scholar 

  11. Reisner SL, Vetters R, Leclerc M, Zaslow S, Wolfrum S, Shumer D, et al. Mental health of transgender youth in care at an adolescent urban community health center: a matched retrospective cohort study. J Adolesc Health. 2015;56(3):274–9.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Wilson EC, Chen YH, Arayasirikul S, Wenzel C, Raymond HF. Connecting the dots: examining transgender women’s utilization of transition-related medical care and associations with mental health, substance use, and HIV. J Urban Health. 2015;92(1):182–92.

    Article  PubMed  Google Scholar 

  13. Agosto S, Reitz K, Ducheny K, Moaton T. Substance use and recovery in the transgender and gender non-conforming (TGNC) older adult community. In: Hardacker C, Ducheny K, Houlberg M, editors. Transgender and gender non-conforming health and aging. New York: Springer; 2018.

    Google Scholar 

  14. Wierckx K, Elaut E, Declercq E, Heylens G, De Cuypere G, Taes Y, et al. Prevalence of cardiovascular disease and cancer during cross-sex hormone therapy in a large cohort of trans persons: a case-control study. Eur J Endocrinol. 2013;169(4):471–8.

    Article  CAS  PubMed  Google Scholar 

  15. Meyer IH, Brown TN, Herman JL, Reisner SL, Bockting WO. Demographic characteristics and health status of transgender adults in select US regions: behavioral risk factor surveillance system, 2014. Am J Public Health. 2017;107(4):582–9.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Conron KJ, Scott G, Stowell GS, Landers SJ. Transgender health in Massachusetts: results from a household probability sample of adults. Am J Public Health. 2012;102(1):118–22.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Shatzel JJ, Connelly KJ, DeLoughery TG. Thrombotic issues in transgender medicine: a review. Am J Hematol. 2017;92(2):204–8.

    Article  PubMed  Google Scholar 

  18. Wilson E, Rapues J, Jin H, Raymond HF. The use and correlates of illicit silicone or “fillers” in a population-based sample of transwomen, San Francisco, 2013. J Sex Med. 2014;11(7):1717–24.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Gardner EM, McLees MP, Steiner JF, Del Rio C, Burman WJ. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis. 2011;52(6):793–800.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Rebchook G, Keatley J, Contreras R, Perloff J, Molano LF, Reback CJ, et al. The transgender women of color initiative: implementing and evaluating innovative interventions to enhance engagement and retention in HIV care. Am J Public Health. 2017;107(2):224–9.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Harris PA, Taylor R, Thielke R, Payne J, Gonzales N, Conde JG. Research electronic data capture (REDCap)—A metadata-driven methology and workflow process for providing translational research informatics support. J Biomed Inf. 2011;42(2):377–81.

    Article  Google Scholar 

  22. Kessler RC, Üstün TB. The World Mental Health (WMH) survey initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). Int J Methods Psychiatr Res. 2004;13(2):93–121.

    Article  PubMed  Google Scholar 

  23. Bertin C, Abbas R, Andrieu V, Michard F, Rioux C, Descamps V, et al. Illicit massive silicone injections always induce chronic and definitive silicone blood diffusion with dermatologic complications. Medicine (Baltimore). 2019;98(4):e14143.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Licher S, Heshmatollah A, van der Willik KD, Stricker BHC, Ruiter R, de Roos EW, et al. Lifetime risk and multimorbidity of non-communicable diseases and disease-free life expectancy in the general population: a population-based cohort study. PLoS Med. 2019;16(2):e1002741.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Swartz JA. Chronic medical conditions among jail detainees in residential psychiatric treatment: a latent class analysis. J Urban Health. 2011;88(4):700–17.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Swartz JA. The relative odds of lifetime health conditions and infectious diseases among men who have sex with men compared with a matched general population sample. Am J Mens Health. 2015;9(2):150–62.

    Article  PubMed  Google Scholar 

  27. Swartz JA. A multi-group latent class analysis of chronic medical conditions among men who have sex with men. AIDS Behav. 2016;20:2418–32.

    Article  PubMed  Google Scholar 

  28. Kessler RC, Green JG, Gruber MJ, Sampson NA, Bromet E, Cuitan M, et al. Screening for serious mental illness in the general population with the K6 screening scale: results from the WHO World Mental Health (WMH) survey initiative. Int J Methods Psychiatr Res. 2010;19(Suppl 1):4–22.

    Article  PubMed  PubMed Central  Google Scholar 

  29. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: American Psychiatric Association; 2013.

    Book  Google Scholar 

  30. Andrews G, Slade T. Interpreting scores on the Kessler Psychological Distress Scale (K10). Aust N Zeal J Public Health. 2001;25(6):494–7.

    Article  CAS  Google Scholar 

  31. Lanza ST, Tan X, Bray BC. Latent class analysis with distal outcomes: a flexible model-based approach. Struct Equ Model. 2013;20(1):1–26.

    Article  Google Scholar 

  32. StataCorp. Stata 15.1 for Mac. College Station: StataCorp; 2017.

    Google Scholar 

  33. Muthén B, Muthén LK. Mplus. 8.1 ed. Los Angeles: Muthén & Muthén; 2017.

    Google Scholar 

  34. Nylund-Gibson K, Masyn KE. Covariates and mixture modeling: results of a simulation study exploring the impact of misspecified effects on class enumeration. Struct Equ Model. 2016;23(6):782–97.

    Article  Google Scholar 

  35. Berlin KS, Williams NA, Parra GR. An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses. J Pediatr Psychol. 2014;39(2):174–87.

    Article  PubMed  Google Scholar 

  36. Asparouhov T, Muthén B. Auxiliary variables in mixture modeling: 3-step approaches using Mplus. 2013. http://statmodel.com/examples/webnotes/AuxMixture_submitted_corrected_webnote.pdf. Accessed 3 May 2017.

  37. Celeux G, Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model. J Classif. 1996;13:195–212.

    Article  Google Scholar 

  38. Safer JD, Coleman E, Feldman J, Garofalo R, Hembree W, Radix A, et al. Barriers to healthcare for transgender individuals. Curr Opin Endocrinol Diabetes Obes. 2016;23(2):168–71.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Russell S, More F. Addressing health disparities via coordination of care and interprofessional education: lesbian, gay, bisexual, and transgender health and oral health care. Dent Clin N Am. 2016;60(4):891–906.

    Article  PubMed  Google Scholar 

  40. Dietrich T, Webb I, Stenhouse L, Pattni A, Ready D, Wanyonyi KL, et al. Evidence summary: the relationship between oral and cardiovascular disease. Br Dent J. 2017;222(5):381–5.

    Article  CAS  PubMed  Google Scholar 

  41. Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. In: U.S. Department of Health and Human Services CfDCaP, editor. Hyattsville, MD2015–2016.

  42. Braun HM, Ramirez D, Zahner GJ, Gillis-Buck EM, Sheriff H, Ferrone M. The LGBTQI health forum: an innovative interprofessional initiative to support curriculum reform. Med Educ Online. 2017;22(1):1306419.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Hillenburg KL, Murdoch-Kinch CA, Kinney JS, Temple H, Inglehart MR. LGBT coverage in US dental schools and dental hygiene programs: results of a National Survey. J Dent Edu. 2016;80(12):1440–9.

    Article  Google Scholar 

  44. Makadon HJ. Ending LGBT invisibility in health care: the first step in ensuring equitable care. Cleve Clin J Med. 2011;78(4):220–4.

    Article  PubMed  Google Scholar 

  45. Perez-Brumer A, Nunn A, Hsiang E, Oldenburg C, Bender M, Beauchamps L, et al. “We don’t treat your kind”: assessing HIV health needs holistically among transgender people in Jackson, Mississippi. PLoS ONE. 2018;13(11):e0202389.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. James SE, Herman JL, Rankin S, Keisling M, Mottet L, Anafi MA. The report of the 2015 U.S. transgender survey. Washington, DC: National Center for Transgender Equality; 2016.

  47. Mangla N, Mamun R, Weisberg IS. Viral hepatitis screening in transgender patients undergoing gender identity hormonal therapy. Eur J Gastroenterol Hepatol. 2017;29(11):1215–8.

    Article  PubMed  Google Scholar 

  48. Dragon CN, Guerino P, Ewald E, Laffan AM. Transgender Medicare beneficiaries and chronic conditions: exploring fee-for-service claims data. LGBT Health. 2017;4(6):404–11.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This project was supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under Grant Numbers H97HA24969 and H97HA24965 awarded to Howard Brown Health Center and Chicago House respectively. No percentage of this project was financed with non-governmental sources. This information or content and conclusions are those of the authors and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.

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Correspondence to James A. Swartz.

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Swartz, J.A., Ducheny, K., Holloway, T. et al. A Latent Class Analysis of Chronic Health Conditions Among HIV-Positive Transgender Women of Color. AIDS Behav 25 (Suppl 1), 52–63 (2021). https://doi.org/10.1007/s10461-019-02543-3

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